With recent advances in microscopy techniques for calcium imaging, scientists are now able to monitor the neurons in large brain areas of living animals. However, this also creates significant challenges for scientists who must make sense of the large and complex datasets generated. As a result, there is a need for new componential methods and […]

Urbanization processes are taking place in the world, so they need the latest research. Spatial orderliness and organization of urbanization forms changes over time, which determines the peculiarities of regional living conditions, its level and quality. A detailed analysis of urban studies in Ukraine and the world testifies to the completeness, significant scientific and practical […]

AI tools based on deep learning has recently been suggested for many complex problems where a large amount of data is available. We will be working similar AI tools but problems from very different domains, namely, airport delay management after disruption and predicting prices of fresh produce under challenging climate conditions. Establishing a recovery flight […]

While there have been several literature reviews on the performance of digital sepsis prediction technologies and clinical decision-support algorithms for adults, there remains a knowledge gap in examining the development of automated technologies for sepsis prediction in children. Pediatric sepsis is a major cause of mortality of children worldwide. However, there is still a lack […]

The goal of this research The system will be designed to intelligently propose redactions for court officers to examine, thereby integrating human oversight with advanced technological capabilities.is to engineer an intuitive and user-friendly system capable of automatically scrutinizing and eradicating confidential information contained within refugee court files in Canada. By leveraging cutting-edge language processing and […]

This research project focuses on improving the analysis of hyperspectral images, which capture images with many narrow spectral bands. Hyperspectral images have many challenges due to their high dimensionality and data redundancy. To overcome these challenges, the researchers aim to develop an advanced intelligent analytics framework for hyperspectral dimension reduction (HDR) using disentangled representation techniques. […]

The main goal of the project is to discover if program analysis approaches can be adapted to the context of Gradle build systems. Thus, during the research it is planned to implement support for Gradle build systems within an existing program analysis toolchain that have been developing at the University of Waterloo. (currently specific to […]

This research project aims to improve the legal framework and enhance protection for survivors of wartime gender-based sexual violence against women in Ukraine. The study will analyze existing legal practices and propose recommendations to strengthen legal protections, including reforms in legislation, law enforcement practices, victim support services, and the involvement of civil society organizations in […]

The goal of this project is to explore how cloud-based processing of image data can be utilized in real-time robotics applications, specifically in advanced object tracking. The challenge is to balance the need for considerable computing resources with the cost of deploying such resources with each robot arm. This is where cloud-based processing offers a […]

The research project aims to study the way international laws and politics govern the reaction to nuclear threats in the ongoing Russia-Ukraine War. This study aims to investigate the legal and political frameworks in place to deal with the nuclear danger in Ukraine, including international agreements such as the Nuclear Non-Proliferation Treaty or the Treaty […]

This research project aims to create a system that allows users to communicate with a virtual environment using their voice. The system will convert the user’s voice commands into text and use natural language processing techniques to understand the user’s intent. Then, the system will generate 3D content based on the identified intent using AI […]

Potential Evapotranspiration (PET) is an important input variable for hydrological models, however, accurately estimating it can be costly. Several simplified models exist for estimating PET, however, their accuracy depends on the quality of input data, assumptions, and land type. For the various oil sands reclamation and monitoring projects, a wide range of estimations currently exist. […]